Issue |
EPJ Web of Conferences
Volume 94, 2015
DYMAT 2015 - 11th International Conference on the Mechanical and Physical Behaviour of Materials under Dynamic Loading
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Article Number | 04050 | |
Number of page(s) | 6 | |
Section | Modeling and Numerical Simulation | |
DOI | https://doi.org/10.1051/epjconf/20159404050 | |
Published online | 07 September 2015 |
https://doi.org/10.1051/epjconf/20159404050
Modeling fragmentation with new high order finite element technology and node splitting
1 IMPETUS Afea AB, Sördalavägen 22, 14160 Huddinge, Sweden
2 IMPETUS Afea SAS, 6 rue du Cers, 31330 Grenade, France
3 IMPETUS Afea AS, Strandgaten 32, 4400 Flekkefjord, Norway
4 CEA, DAM, GRAMAT, 46500 Gramat, France
a Corresponding author: jerome@impetus-afea.com
Published online: 7 September 2015
The modeling of fragmentation has historically been linked to the weapons industry where the main goal is to optimize a bomb or to design effective blast shields. Numerical modeling of fragmentation from dynamic loading has traditionally been modeled by legacy finite element solvers that rely on element erosion to model material failure. However this method results in the removal of too much material. This is not realistic as retaining the mass of the structure is critical to modeling the event correctly. We propose a new approach implemented in the IMPETUS AFEA SOLVER® based on the following: New High Order Finite Elements that can easily deal with very large deformations; Stochastic distribution of initial damage that allows for a non homogeneous distribution of fragments; and a Node Splitting Algorithm that allows for material fracture without element erosion that is mesh independent. The approach is evaluated for various materials and scenarios: -Titanium ring electromagnetic compression; Hard steel Taylor bar impact, Fused silica Taylor bar impact, Steel cylinder explosion, The results obtained from the simulations are representative of the failure mechanisms observed experimentally. The main benefit of this approach is good energy conservation (no loss of mass) and numerical robustness even in complex situations.
© Owned by the authors, published by EDP Sciences, 2015
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